A new position is available as a Research Associate as part of the €5M,
H2020 EU funded STriTuVaD project, focused on developing computational
modelling techniques to provide in-silico augmented clinical trials for
Tuberculosis (TB) vaccination development. The role will specifically
contribute through the development of a coherent Bayesian framework
combining information from Phase II clinical trials with synthetic data
from a bespoke agent-based simulator of the immune system.
You will liaise with project partners to harmonise clinical and
computational data, elicit prior information and develop effective trail
decision strategies. You will focus on the development of statistical
models based on the mechanistic simulator which allow for uncertainty
propagation through its components. This will be used to inform the
clinical trials to aid in reducing its size and duration.
Due to the complexity of the interaction of TB with the immune system,
these models will be highly dimensional and state-of-the art computational
techniques will be required to carry out inference, or new should be
developed. As part of the project, one of the partners will implement the
simulator on GPUs and a close collaboration with their team is anticipated.
This is an unrivalled opportunity for you to work within a world-class
research grouping addressing a problem of major and growing significance.
Travel to some project partners is anticipated, you will therefore have
excellent communication and engagement skills and be capable of working
with researchers and software developers from a diverse background. You
will hold a PhD in a relevant discipline (or have equivalent experience),
with demonstrable expertise in statistical modelling, with special emphasis
on hierarchical Bayesian models.
This is a full-time fixed term post for 36 months at Grade 7.
Deadline: 12 December 2018
Please visit https://bit.ly/2PlwlQm for further details and to apply.
Informal enquiries to Dr Miguel A. Juarez ([log in to unmask]) are
encouraged.
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